Tensorflow2实现简单的深度神经网络批归一化

model = keras.models.Sequential()model.add(keras.layers.Flatten(input_shape=[28, 28]))for _ in range(20):    model.add(keras.layers.Dense(100, activation="relu"))    model.add(keras.layers.BatchNormalization())    """    model.add(keras.layers.Dense(100))    model.add(keras.layers.BatchNormalization())    model.add(keras.layers.Activation('relu'))    """model.add(keras.layers.Dense(10, activation="softmax"))model.compile(loss="sparse_categorical_crossentropy",              optimizer = "sgd",              metrics = ["accuracy"])